[BioC] package of predicting a continuous variable from more than one continuous predictor variables

[shirley zhang]

Thanks Steve.

Sorry that I did not make myself clear. I am trying to build a
biomarker from gene expression microarray data. What I am doing is
similar to the weighted-voting algorithm or SVM. But the difference is
that the outcome is a continuous variable instead of a categorical
variable.  It is a regression problem, but I want to know which
package is best for this purpose? How about CART?

Thanks again,
Shirley

On Wed, Sep 9, 2009 at 9:45 AM, Steve Lianoglou
<mailinglist.honeypot at gmail.com> wrote:
> Hi,
>
> On Sep 9, 2009, at 9:32 AM, shirley zhang wrote:
>
>> Dear List,
>>
>> I am attempting to predict the values of a continuous variable from
>> more than one continuous predictor variables (gene expressions in
>> Microarray). Can anyone recommend some packages?
>
> Isn't this just a regression problem?
>
> There's a plethora of packages to look at, depending on the approach you're
> interested:
>
> http://cran.r-project.org/web/views/MachineLearning.html
>
> Take your pick :-)
>
>  -steve
>
> --
> Steve Lianoglou
> Graduate Student: Computational Systems Biology
>  |  Memorial Sloan-Kettering Cancer Center
>  |  Weill Medical College of Cornell University
> Contact Info: http://cbio.mskcc.org/~lianos/contact
>
>